pskugit / custom-conv2dLinks
A study for a custom convolution layer in which the x and y components of an image pixel are added to the kernel inputs.
☆12Updated 5 years ago
Alternatives and similar repositories for custom-conv2d
Users that are interested in custom-conv2d are comparing it to the libraries listed below
Sorting:
- Bibtex for Sparsity in Deep Learning paper (https://arxiv.org/abs/2102.00554) - open for pull requests☆46Updated 3 years ago
- [Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration☆31Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆36Updated 4 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆769Updated 6 months ago
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆26Updated last year
- On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks☆18Updated last year
- Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"☆12Updated 4 years ago
- 😎 A curated list of tensor decomposition resources for model compression.☆103Updated 2 weeks ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆40Updated 4 years ago
- EP☆18Updated 4 years ago
- Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks☆33Updated 3 years ago
- Implementation of "NITI: Training Integer Neural Networks Using Integer-only Arithmetic" on arxiv☆90Updated 3 years ago
- ☆16Updated 5 years ago
- Model compression by constrained optimization, using the Learning-Compression (LC) algorithm☆71Updated 4 years ago
- ☆11Updated last year
- Stochastic Computing for Deep Neural Networks☆33Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- ☆228Updated last year
- Low Precision Arithmetic Simulation in PyTorch☆290Updated last year
- PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"☆14Updated 2 years ago
- tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api☆20Updated 6 years ago
- Simple code for the tutorial on Polynomial Nets.☆13Updated 3 years ago
- Experiments with Direct Feedback Alignment training scheme for DNNs☆31Updated 8 years ago
- ☆78Updated last year
- HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models☆22Updated last year
- ☆52Updated 6 years ago
- ☆13Updated 4 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆205Updated last year
- ☆12Updated 4 years ago
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆35Updated 2 years ago